Information Technology
Our mission is to advance the field of smart systems engineering and informatics through education, research, and collaboration. We conduct cutting-edge research that pushes the boundaries of knowledge and addresses real-world challenges in food and health, business, and society. We work closely with industry, government, and other academic institutions to create a vibrant ecosystem of innovation, where our ideas can have a tangible impact on people's lives.
Latest publications
-
Enhancing the reliability of probabilistic PV power forecasts using conformal prediction
Solar Energy Advances (2024), Volume: 4 - ISSN 2667-1131 -
Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools
Comprehensive Reviews in Food Science and Food Safety (2024), Volume: 23, Issue: 1 - ISSN 1541-4337 - p. 1-18. -
Virtual reality for biochemistry education: the cellular factory
Education and Information Technologies (2024), Volume: 29, Issue: 2 - ISSN 1360-2357 - p. 1647-1672. -
Microservice reference architecture design : A multi-case study
Software - Practice and Experience (2024), Volume: 54, Issue: 1 - ISSN 0038-0644 - p. 58-84. -
Adaptive organizational responses to varied types of failures: Empirical insights from technology providers in Ghana
Technovation (2024), Volume: 129 - ISSN 0166-4972 -
Detecting deviations in the code using architecture view-based drift analysis
Computer Standards and Interfaces (2024), Volume: 87 - ISSN 0920-5489
Vacancy
Education
We offer a variety of courses at BSc and MSc level that are taken by students from all study programmes of Wageningen University & Research. The courses are aligned to our overall objective for realizing smart system engineering. In parallel with our courses we offer interesting MSc and BSc thesis assignments. Further, we have an active PhD programme in which research is carried out in close collaboration with the life sciences application domains.
Research
We adopt a holistic, multidisciplinary, and interdisciplinary approach to our work, with the aim of integrating data, software, hardware, people, and processes within the organizational, institutional, and societal context. We recognize that this approach is inherently complex, given the unpredictable behavior and interaction of system components in their environment. To address this challenge, we focus on several important generic and applied research themes.